The Practical Guide To Hr Analytics

Author: Shonna D. Waters
Editor:
ISBN: 9781586445324
File Size: 43,37 MB
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The need for HR professionals to understand and apply data analytics is greater than ever. Today's successful HR professionals must ask insightful questions, understand key terms, and intelligently apply data, but may lack a clear understanding of the many forms, types, applications, interpretations, and capabilities of HR analytics. HR Analytics provides a practical approach to using data to solve real HR challenges in organizations and demystifies analytics with clear guidelines and recommendations for making the business case, starting an HR analytics function, avoiding common pitfalls, presenting data through visualization and storytelling, and much more.

Introduction To People Analytics

Author: Nadeem Khan
Editor: Kogan Page
ISBN: 9781789661804
File Size: 35,41 MB
Format: PDF, ePub, Docs
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Use this introductory guide to get to grips with people analytics and learn how to find, collect, analyze and use your data to add business value.

Practical Applications Of Hr Analytics

Author: Pratyush Banerjee
Editor: SAGE Publications Pvt. Limited
ISBN: 9789353282967
File Size: 49,76 MB
Format: PDF, Kindle
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A comprehensive introduction to the know-how of HR analytics and its role in optimizing HR decision-making and driving organizational performance. In today’s technology-driven world, HR analytics is pivotal to measure, express and take focused HR decisions. Practical Applications of HR Analytics equips readers with the required tools and techniques to effectively identify, capture and utilize the vast amount of available data in making better informed business decisions. The text is lucid and packed with practical illustrative examples, hands-on exercises and datasets. It is an invaluable resource for management students and HR professionals who want to translate the benefits of HR analytics into practice, thus paving the way for evidence-based human resource management. Key Features: • Practical understanding of a range of open-source statistical GUI software. • Focus on both descriptive and predictive analytics in HR. • Chapter opening vignettes, industry examples and real-world case studies on application of HR analytics in organizations. • Supplementary exercises and soft copy of datasets provided on Google Drive Link to facilitate hands-on training.

Hr Analytics

Author: Tracey Smith
Editor: Numerical Insights LLC
ISBN: 1492739162
File Size: 25,11 MB
Format: PDF, Kindle
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How can HR show value? With 20+ years of analytical expertise, the author guides you into the land of HR analytics to answer this question. The reader of this book is a business leader, an HR leader, analyst, student or just plain curious about what analytics in the Human Resource function is all about. It is intended for the business-minded individual interested in learning about the strategic advantages which can be obtained from performing analytics on the wealth of data stored in HR systems. The book begins with a brief history of the evolution of HR information and explains some of the differences between the stages of information progression. It also provides an opinion on who needs to know these differences and who doesn’t. The book moves on to provide advice on how to best select metrics for HR and how to approach an analysis is an organized way. A full chapter is dedicated to practical examples in order to assist the reader in generating ideas of how to provide value to the organization. Examples are provided using simple and more advanced techniques. The intent, however, is to show where value can be found in HR data and not to provide instruction on mathematical techniques. For the HR leader, the book will go on to examine the advantages and disadvantages of trying to build these capabilities in-house and will provide a realistic view of the challenges associated with implementing analytics in Human Resources. For the HR analyst, a section is included to discuss the realistic challenges you will face in collecting and analyzing HR data. Those entering this field or thinking about it, can then go in with their eyes wide open. A brief introduction to Strategic Workforce Planning is provided because it overlaps with HR analytics in one of its major steps. Finally, the book provides advice and opinions on data analysis and visualization tools available to the HR professional. What Will This Book Do for Me? Before the reader embarks on his / her journey through the pages of this book, it is important to know the types of questions that will be answered. Only then can the reader determine the true value of this material for his / her business. The list below is not all inclusive, but will provide the reader with an idea on how the information contained herein can be used. 1. How can I show some HR analytics quick wins to my leadership team? 2. What are the evolutionary stages of analytics and in what stage are most businesses? 3. How can I organize my analysis efforts? 4. What can regression analysis do for me? 5. How can I link HR to the business? 6. How can I get strategic value out of an HR survey? 7. Should I have an in-house analytics group? If so, which skill sets should I look for? 8. What challenges can I realistically expect to face if I head into HR analytics? Under the new pressure for Human Resources to provide higher value to the company, answering these and similar questions for the organization will increase the strategic level of Human Resources.

Doing Hr Analytics

Author: Lyndon Sundmark
Editor: Createspace Independent Publishing Platform
ISBN: 9781973716372
File Size: 74,16 MB
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People / HR Analytics is: -Where Data Science meets HR -Where HR Management and Decision Making can be based on, driven by, and transformed by data For many, if not most HR professionals in organizations - this is NOT HR 'business as usual'. "Doing HR Analytics - A Practitioner's Handbook With R Examples" seeks to cut through the jargon and hype that currently accompanies the current state of this field. It provides the reader with good foundational definitions and concepts, a suggested 'known' analytics framework, and practical illustrative examples of how to make use of analytics to address typical HR issues. Its purpose is to get you to think informationally about 'all' of HR. The enclosed examples just 'scratch the surface' of what is possible.

Predictive Analytics For Human Resources

Author: Jac Fitz-enz
Editor: John Wiley & Sons
ISBN: 1118893670
File Size: 20,79 MB
Format: PDF, Mobi
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Create and run a human resource analytics project with confidence For any human resource professional that wants to harness the power of analytics, this essential resource answers the questions: "Where do I start?" and "What tools are available?" Predictive Analytics for Human Resources is designed to answer these and other vital questions. The book explains the basics of every business—the vision, the brand, and the culture, and shows how predictive analytics supports them. The authors put the focus on the fundamentals of predictability and include a framework of logical questions to help set up an analytic program or project, then follow up by offering a clear explanation of statistical applications. Predictive Analytics for Human Resources is a how-to guide filled with practical and targeted advice. The book starts with the basic idea of engaging in predictive analytics and walks through case simulations showing statistical examples. In addition, this important resource addresses the topics of internal coaching, mentoring, and sponsoring and includes information on how to recruit a sponsor. In the book, you'll find: A comprehensive guide to developing and implementing a human resource analytics project Illustrative examples that show how to go to market, develop a leadership model, and link it to financial targets through causal modeling Explanations of the ten steps required in building an analytics function How to add value through analysis of systems such as staffing, training, and retention For anyone who wants to launch an analytics project or program for HR, this complete guide provides the information and instruction to get started the right way.

Human Resource Management In Hospitality Cases

Author: Peter Szende
Editor: Routledge
ISBN: 1351233297
File Size: 37,20 MB
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Human Resource Management in Hospitality Cases adopts a practical case-based approach to develop critical thinking and problem-solving skills in future hospitality managers. Using tried-and-tested real-life scenarios, this book thoroughly prepares hospitality students for a career in the field. Chapters are comprised of 75 short vignettes, split into nine sections that reflect and cover the primary challenges facing hospitality managers on a daily basis, including leadership credibility, building and managing employee performance, managing a diverse workforce, dealing with problem behaviors, and many others, all contextualised within the hospitality industry. With a main "think point" and series of questions for each case, the book is a highly insightful and engaging read. Suggested answers and solutions to the questions can be found within the extensive online resources that complement the book. Each section is also contextualized and theorized with an additional reading section, organized by key concept. This book will be essential for all students of hospitality and an invaluable resource for current practitioners in the field as well.

Predictive Hr Analytics

Author: Dr Martin R. Edwards
Editor: Kogan Page Publishers
ISBN: 0749484454
File Size: 27,90 MB
Format: PDF
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HR metrics and organizational people-related data are an invaluable source of information from which to identify key trends and patterns in order to make effective business decisions. HR practitioners often, however, lack the statistical and analytical know-how to fully harness their potential. Predictive HR Analytics provides a clear, accessible framework with which to understand and work with people analytics and advanced statistical techniques. Step-by-step and by using worked examples, this book shows readers how to carry out and interpret analyses of various forms of HR data, such as employee engagement, performance and turnover, using the statistical packages SPSS (with R syntax provided), and, importantly, how to use the results to enable practitioners to develop effective evidence-based HR strategies. This second edition of Predictive HR Analytics has been updated to include new material on machine learning, biased algorithms, data protection and GDPR considerations, a new example using Kaplan Meier Survival analyses for tenure/turnover modelling and updated screenshots and examples with SPSS version 25. It is supported by a new appendix showing main R coding for the focal analyses approaches in the book, and online resources consisting of SPSS and Excel data sets and R syntax with worked case study examples.

Data Driven Hr

Author: Bernard Marr
Editor: Kogan Page Publishers
ISBN: 0749482478
File Size: 73,46 MB
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Traditionally seen as a purely people function unconcerned with numbers, HR is now uniquely placed to use company data to drive performance, both of the people in the organization and the organization as a whole. Data-Driven HR is a practical guide which enables HR professionals to leverage the value of the vast amount of data available at their fingertips. Covering how to identify the most useful sources of data, collect information in a transparent way that is in line with data protection requirements and turn this data into tangible insights, this book marks a turning point for the HR profession. Covering all the key elements of HR including recruitment, employee engagement, performance management, wellbeing and training, Data-Driven HR examines the ways data can contribute to organizational success by, among other things, optimizing processes, driving performance and improving HR decision making. Packed with case studies and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations.

Practical Human Resource Information Systems

Author: SATISH K. BAGDI
Editor: PHI Learning Pvt. Ltd.
ISBN: 8120345290
File Size: 57,30 MB
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Practical Guide to Human Resource Information Systems (HRIS) is a compre-hensive presentation on global HRIS implementations and the associated challenges faced in such global projects. It begins with the basic HR and IT concepts and guides the readers through the complete life cycle of HRIS applications, spanning from planning to execution. Both HR and IT play an equal role in the development of HRIS applications. This book will help students from both HR and IT streams in assimilating the intricacies of implementation of HRIS projects. HR is one of the most popular ERP product implementation topics in today’s business world. Its implementation needs a practical discussion using examples from real world. The examples, the case study and discussions in the book follow an international approach rather than discussing only a single country HRIS implementations. A real-life case study that flows through various chapters of the book brings out challenges in the implementation of HR specific projects. In today’s global economy, HR is changing fast and dives into areas such as strategy outsourcing, mergers and acquisitions (M & A). This book covers all these areas and other topics that are relevant to today’s HR world, providing more value to the readers. It provides illustrations to assist readers in visualizing the topics discussed and in developing a sound understanding of the integration and data aspects of HRIS systems. This book will be useful as a text for a course in HRIS wherever prescribed for the MBA (HR) and MBA (IT) students. The book encourages self-directed study and thought process, based on references provided at the end of each chapter, and hence will also be useful to consultants, HR professionals, and IT professionals working with HR departments.

A Practical Guide To Analytics For Governments

Author: Marie Lowman
Editor: John Wiley & Sons
ISBN: 1119362822
File Size: 22,10 MB
Format: PDF, Mobi
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Analytics can make government work better—this book shows you how A Practical Guide to Analytics for Governments provides demonstrations of real-world analytics applications for legislators, policy-makers, and support staff at the federal, state, and local levels. Big data and analytics are transforming industries across the board, and government can reap many of those same benefits by applying analytics to processes and programs already in place. From healthcare delivery and child well-being, to crime and program fraud, analytics can—in fact, already does—transform the way government works. This book shows you how analytics can be implemented in your own milieu: What is the downstream impact of new legislation? How can we make programs more efficient? Is it possible to predict policy outcomes without analytics? How do I get started building analytics into my government organization? The answers are all here, with accessible explanations and useful advice from an expert in the field. Analytics allows you to mine your data to create a holistic picture of your constituents; this model helps you tailor programs, fine-tune legislation, and serve the populace more effectively. This book walks you through analytics as applied to government, and shows you how to reap Big data's benefits at whatever level necessary. Learn how analytics is already transforming government service delivery Delve into the digital healthcare revolution Use analytics to improve education, juvenile justice, and other child-focused areas Apply analytics to transportation, criminal justice, fraud, and much more Legislators and policy makers have plenty of great ideas—but how do they put those ideas into play? Analytics can play a crucial role in getting the job done well. A Practical Guide to Analytics for Governments provides advice, perspective, and real-world guidance for public servants everywhere.

Hr Analytics And Innovations In Workforce Planning

Author: Tony Miller
Editor:
ISBN: 9781631576225
File Size: 65,70 MB
Format: PDF, Kindle
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La 4e de couv. indique : "This book sets out new approaches, formulas, and software needed to enable HR function or organization to forecast trends and to use existing retrospective data to their organization s advantage, which, in short, is to maximize efficiency and productivity. The reader will encounter new formulas to use and new approaches that will add value. Readers will also learn that most of the existing 52 formulas available don t work in today s environment. There is new software that will enable you to do forecasts with certainty and you can use a new mathematical model to rightsize any organization. Are you using an outdated organizational model? Do you have processes that don t work any more? These are areas that are major inhibitors to productivity and can be significantly improved. Most important of all, this book will help you to create immense added value in any organization."

Have A Think

Author: Bitasta Roy Mehta
Editor: Createspace Independent Publishing Platform
ISBN: 9781546876960
File Size: 46,31 MB
Format: PDF, Mobi
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A soulful YOU and a soulful world - a brilliant and rare mix of philosophy into the corporate world, with an execution guideline. 'Have a THINK', presents an entirely fresh perspective on prevalent HR issues from workforce planning, people development to compensation and leadership. The THINK philosophy is positioned by the book to act as a checklist to HR professionals, and the book pivots around how this approach to life is perfectly transferred into HR practices. This book will give you a renewed appreciation for using evidence as a critical component in your decision making which will lead to better outcomes.

Predictive Analytics In Human Resource Management

Author: Shivinder Nijjer
Editor: Taylor & Francis
ISBN: 1000208133
File Size: 11,89 MB
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This volume is a step-by-step guide to implementing predictive data analytics in human resource management (HRM). It demonstrates how to apply and predict various HR outcomes which have an organisational impact, to aid in strategising and better decision-making. The book: Presents key concepts and expands on the need and role of HR analytics in business management. Utilises popular analytical tools like artificial neural networks (ANNs) and K-nearest neighbour (KNN) to provide practical demonstrations through R scripts for predicting turnover and applicant screening. Discusses real-world corporate examples and employee data collected first-hand by the authors. Includes individual chapter exercises and case studies for students and teachers. Comprehensive and accessible, this guide will be useful for students, teachers, and researchers of data analytics, Big Data, human resource management, statistics, and economics. It will also be of interest to readers interested in learning more about statistics or programming.

Human Technological Resource Management Htrm

Author: Payal Kumar
Editor: Emerald Group Publishing
ISBN: 1838672230
File Size: 60,58 MB
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Industrial Revolution 4.0 is upon us, with disruptive technology rapidly changing our personal and professional lives. In this climate it is not clear how organization reorganization will take place and there is haziness over the strategic HRM required to attract, develop, and retain talent.

Hr Analytics Essentials You Always Wanted To Know

Author: Vibrant Publishers
Editor:
ISBN: 9781636510361
File Size: 50,93 MB
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Each day, Human Resources professionals face myriad issues with employees and the organizations that they support. Many times, these professionals rely on their intuition, "gut instincts" and years of experience to create resolutions and interventions to solve these issues. Although done with good intentions, these interventions often lack analytical rigor and forethought about unintended consequences and the root cause of the issue. Human Resources Analytics Essentials You Always Wanted to Know will allow readers the opportunity to learn real-world analytics techniques and critical thinking skills that can be used in any industry. Written like a field guide or handbook, readers will learn by practicing their new skills though case studies and online tutorials. This book not only teaches the theory behind some of the most powerful analytical tools in HR, but practical application as well. Starting with a self-assessment, readers immediately gain insight into potential next steps and practical ways to apply their knowledge and skills. Whether a novice or seasoned professional, Human Resources Analytics Essentials You Always Wanted to Know will help you progress in your analytics journey.

Calculating Success

Author: Carl Hoffmann
Editor: Harvard Business Press
ISBN: 1422143325
File Size: 39,54 MB
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Create an Organization That Runs on More than Intuition and Guesswork Most companies today have access to reams of data: marketing, supply chain, finance, as well as critical data about their workforce. Yet research shows that leaders at these companies lack the confidence to effectively integrate and use this data to compete more effectively in the marketplace. While executives know the results they need to achieve, they often fail to analyze the impact of their decisions on the firm, its processes, and its people. Enter Calculating Success, written by a trio of experts who have spent decades working with companies to more effectively apply human capital data to improve organizational outcomes. Calculating Success shows readers how they can take an analytical approach to both anticipate and address the changes required by a company’s competitive environment, and drive superior performance. Using an innovative six-step framework and introducing new tools, the authors show executives how to make smarter strategic decisions by evaluating the data at their fingertips. The framework will help leaders: • Analyze the work that needs to be done and know how to structure it • Provide the right types of people to do it • Motivate them to engage in that work • Explore innovative ways to get the work done Full of detailed examples and case studies, Calculating Success will help you rethink the relationship of talent to business success. The result? A more motivated and cost-efficient workforce and a sustainable, systematic approach to acquiring talent and innovating how work gets done.

People Analytics In The Era Of Big Data

Author: Jean Paul Isson
Editor: John Wiley & Sons
ISBN: 1119050782
File Size: 34,75 MB
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Apply predictive analytics throughout all stages of workforce management People Analytics in the Era of Big Data provides a blueprint for leveraging your talent pool through the use of data analytics. Written by the Global Vice President of Business Intelligence and Predictive Analytics at Monster Worldwide, this book is packed full of actionable insights to help you source, recruit, acquire, engage, retain, promote, and manage the exceptional talent your organization needs. With a unique approach that applies analytics to every stage of the hiring process and the entire workforce planning and management cycle, this informative guide provides the key perspective that brings analytics into HR in a truly useful way. You're already inundated with disparate employee data, so why not mine that data for insights that add value to your organization and strengthen your workforce? This book presents a practical framework for real-world talent analytics, backed by groundbreaking examples of workforce analytics in action across the U.S., Canada, Europe, Asia, and Australia. Leverage predictive analytics throughout the hiring process Utilize analytics techniques for more effective workforce management Learn how people analytics benefits organizations of all sizes in various industries Integrate analytics into HR practices seamlessly and thoroughly Corporate executives need fact-based insights into what will happen with their talent. Who should you hire? Who should you promote? Who are the top or bottom performers, and why? Who is at risk to quit, and why? Analytics can provide these answers, and give you insights based on quantifiable data instead of gut feeling and subjective assessment. People Analytics in the Era of Big Data is the essential guide to optimizing your workforce with the tools already at your disposal.

The Data Driven Leader

Author: Jenny Dearborn
Editor: John Wiley & Sons
ISBN: 1119382203
File Size: 36,75 MB
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Playing the blame game -- Leading with business outcomes -- Starting with analytics -- Early discoveries -- Diagnosing what's wrong -- The road ahead -- Results win support

Audit Command Language Acl Analytics A Practical Guide For Beginners Uum Press

Author: Haslinda Hassan
Editor: UUM Press
ISBN: 9672363443
File Size: 46,83 MB
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Tired of performing an audit manually? This module provides a useful step-by-step approach to perform an audit using ACL. Easy to understand and follow. No such module in the market so far. This module is designed to assist users on how to use ACL as a powerful tool to audit. The module is divided into 8 Chapters. Chapter 1 introduces audit and information technology (IT) audit, audit assertions, audit procedures, and the relationship between audit assertions and audit procedures. Chapter 2 explains ACL in the audit, describing in brief its advantages and disadvantages. Chapter 3 assists users with using ACL. In this chapter, users will learn how to install ACL (version 9), and get familiar with the ACL menus and user interfaces. This module uses a step-by-step approach to guide users from creating a new project from ACL to viewing and modifying the table in ACL. Chapter 4 elaborates how to use ACL commands for data integrity verification. For this purpose, users will learn how to count records, total numeric fields or expression, and check for validity errors. Chapter 5 shows users how to analyse their data using the ACL command. The analyse include statistics, stratify, classify, examine the sequence, check for gaps, check for duplicates, ageing, and summarise commands. The remaining chapters cover three main accounting information systems (AIS) cycles, namely, sales and cash receipts (Chapter 6), purchase and cash payments (Chapter 7), and human resource (Chapter 8). For each cycle, cases are given for better assimilation.